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TR

BASIC STATISTICS-II

Course
STAT106 - BASIC STATISTICS-II
Department
Basic Sciences and Humanities
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
5
T+P+L
2 + 2 + 0
Course Coordinator(s)
Asst. Prof. Dr. Oluwasuyi Ayobami OBA
Prerequisite
Keywords

Course Description

The objective of this course is to improve the knowledge of students on Statistics by using the topics are learnt in STAT 105, Basic Statistics I. The students will learn constructing hypothesis and confidence intervals for population means. Besides, based on the first level of statistics in this course the aim is to teach the students more complex chapters such as hypothesis testing, assumptions of parametric tests, one sample T test, independent sample T Test, paired sample T test, Chi square analysis, One and two way Anova. Also, interpretations of test statistics and p-values are evaluated in the contens of the course. These chapters will provide an advantage to students to interpret their results in the research articles.

BASIC STATISTICS-II

Evaluation Tools (Active Term)

Item Type Weight (%)
Quiz Quiz 15
Midterm Midterm 40
Final Final 45
Total 100

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Week Topic
Week 1 Course overview, introduction to hypothesis tests
Week 2 Chi square test
Week 3 Hypothesis Tests
Week 4 Standard error and confidence intervals for population mean
Week 5 One sample t tests
Week 6 Independent sample t tests
Week 7 Dependent sample t tests
Week 8 Dependent sample t tests
Week 9 Midterm Exam
Week 10 One way ANOVA
Week 11 One way ANOVA applications
Week 12 Two-way variance analysis
Week 13 Two-way variance analysis
Week 14 Mixed applications
Week 15 Final exam

Reference Books & Course Materials

  1. 01 Larson, R. (2023). Elementary statistics: Picturing the world.
  2. 02 Agresti, A. & Franklin, C. (2013) Statistics: The Art and Science of Learning from Data, Global Edition, 3rd edition, Pearson
  3. 03 Runyon, R. P., Coleman, K. A., & Pittenger, D. J. (2000). Fundamentals of behavioral statistics. McGraw-Hill.

Learning Outcomes

  1. L01 Express and hypothesize the research problem . 3+5
  2. L02 Recognizing and appraising how parametric statistical tests works. SOLO 3
  3. L03 Applying proper statistical analysis for the research problems SOLO 4
  4. L04 Summarazing and interpreting the anaylses results. SOLO 4

Program Outcomes

  1. P01 Demonstrate an understanding of the core subfields of psychology — including but not limited to clinical, developmental, cognitive, social, and biological/neuroscientific psychology — and their interconnections with other scientific disciplines, critically evaluating the value of a multidisciplinary approach to scientific inquiry in psychology.
  2. P02 Apply scientific methods, research techniques, measurement and psychometric principles (e.g., reliability, validity, scale development/adaptation), and quantitative/statistical reasoning to investigate psychological phenomena, recognizing methodological strengths, limitations, common reasoning fallacies, and the flaws of pseudoscience.
  3. P03 Employ logical, intuitive, and creative thinking to analyze psychological concepts, evaluate theories (including their historical and philosophical development), synthesize information, and solve complex problems related to cognition and behavior.
  4. P04 Integrate psychological theories and findings into practical settings (e.g., business, policy, clinical/counseling contexts, and daily life), applying foundational applied skills such as interviewing, observation, and case formulation, drawing meaningful conclusions to inform individual, organizational, and societal practices.
  5. P05 Describe key ethical principles in psychological research and practice, critically applying these principles to dilemmas across academic, professional, and everyday contexts.
  6. P06 Recognize how individual differences (e.g., beliefs, values, backgrounds) impact behavior and relationships; use psychological knowledge to prevent or resolve intercultural and interpersonal conflicts and promote inclusive, respectful interactions.
  7. P07 Exhibit self-regulation and self-awareness, demonstrating a commitment to psychological well-being, effective time management, constructive incorporation of feedback, and ongoing personal and professional development.
  8. P08 Collaborate effectively in diverse teams, demonstrating responsibility, bias awareness, conflict resolution skills, and leadership in achieving collective goals.
  9. P09 Communicate psychological knowledge clearly and appropriately for academic, professional, and public audiences using inclusive language, both in written and oral formats, and by accurately summarizing and presenting research findings.
  10. P10 Use information and communication technologies (including AI and digital media) responsibly and effectively for research, collaboration, and the dissemination of psychological knowledge.
  11. P11 Embrace lifelong learning and adaptability in response to evolving psychological knowledge and societal needs, engaging with global perspectives and demonstrating intercultural awareness.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 Average
L01 - - - - - - - - - - - -
L02 5 5 4 5 5 5 4 3 3 4 5 4.36
L03 4 5 5 4 3 4 3 3 4 3 5 3.91
L04 5 5 5 5 5 4 4 3 4 5 5 4.55